ai-agent

GEAK: Speed Up AI Model Kernels for Faster GPU Performance

GEAK lets founders generate optimized AI kernels with Python and Triton, cutting GPU compute time and simplifying kernel tuning.

From the repo · “Generating Efficient AI-Centric Kernels”

190 stars+5★ this week67 forksPythonGuide quality 9/10 · reviewed Oct 10Updated 10/22/2026100% free · open source
What it does

GEAK generates efficient AI-centric kernels for founders using Python and AI to optimize their machine learning models

When to use it
  • •When you need to optimize your AI model's performance on a specific hardware
  • •When you want to reduce the energy consumption of your AI model
  • •When you need to deploy your AI model on a edge device with limited resources
Ready-to-paste prompt
python geak.py --config config.json --input-shape 224 224 3 --output-shape 1000 --model resnet50
Heads up: GEAK requires a specific version of the TensorFlow library (>= 2.4.0) and a compatible Python version (>= 3.7) to run correctly
Saves to your device
Use with Claude
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✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/geak && curl -fsSL https://workflowstacks.com/api/skills/geak/claude-skill -o ~/.claude/skills/geak/SKILL.md
Open in another AI app

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Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

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What's inside — free to inspect

No purchase needed

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9
top-level files
11
folders
158.4M
source size
Apache-2.0
license
Key files
README.md
File tree
.github/
ci/
docs/
e2e_workflow/
examples/
geak/
interface/
kb/
kernel_workflow/
perf_knowledge/
scripts/
.gitignore
.gitleaks.toml
.readthedocs.yaml
CONTRIBUTING.md
LICENSE.md
pyproject.toml
README.md
SECURITY.md
setup.py
Quick Actions
Details
Creator
AMD-AGI
Language
Python
Category
ai-agent
Published
7/30/2025

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